This repository collects the state-of-the-art algorithms for video/image enhancement using deep learning (AI) in recent years, including reviews and engineering practices.
视频/图像增强手段包括去伪影/去块/去噪(artifacts reduction, deblocking, denoising)、超分辨率(super resolution)、图像/色彩增强(image/color enhancement)，这里主要针对这几种领域收集一些优秀的AI算法，并在工程上进行一些代码试验。
- SRCNN-ECCV2014
- ESPCN-CVPR2016
- FSRCNN-ECCV2016
- VDSR-CVPR2016
- DRCN-CVPR2016
- LapSRN-CVPR2017
- SRDenseNet-ICCV2017
- SRGAN-CVPR2017
- EDSR-CVPR2017
- DBPN-CVPR2018
- RDN-CVPR2018
- RCAN-ECCV2018
- 视频增强 https://github.com/yulunzhang/video-enhancement
- 压缩编码 https://github.com/flyywh/Image-compression-and-video-coding
- video SR https://github.com/LoSealL/VideoSuperResolution
- image SR https://github.com/icpm/super-resolution https://github.com/YapengTian/Single-Image-Super-Resolution
- Awesome Deep Vision https://github.com/kjw0612/awesome-deep-vision
- Awesome Computer Vision https://github.com/jbhuang0604/awesome-computer-vision
- denoising https://github.com/flyywh/Image-Denoising-State-of-the-art